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Product & Ops Lead


Job Location:

San Francisco, CA - USA

Monthly Salary: $ 150000 - 250000
Posted: 11 July 2026 (30+ days ago)
Application Deadline: 8 October 2026
Vacancies: 1 Vacancy

Job Summary

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers software and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire.
Title of Role: Product & Ops Lead (AI / ML Workflows)

Location: San Francisco CA (On-site 5 days/week)
Company Stage of Funding: Series A (profitable potential Series B)
Office Type: On-site
Salary: $150000 $250000 Equity

Company Description

Our client is an AI research and infrastructure company focused on building high-quality video datasets for frontier AI labs. As video becomes the dominant medium across industries like gaming robotics AR/VR and creative tools the company is solving one of the biggest bottlenecks in AI: access to high-quality training data.

With a lean and highly technical team the company is already profitable and working directly with leading AI labs and Fortune 100 companies. They are building the underlying infrastructure powering next-generation video AI systems and rapidly scaling their customer base.

What You Will Do
  • Own and manage relationships with top AI lab customers end-to-end
  • Serve as the primary technical point of contact for customer engagements
  • Understand customer ML workflows data pipelines and model training processes
  • Translate customer needs into clear internal requirements for engineering and data teams
  • Scope and manage projects across data generation benchmarking and platform operations
  • Drive renewals expansions and upsell opportunities within existing accounts
  • Support new customer acquisition through demos technical scoping and proposals
  • Operate and improve contributor/data platforms used for dataset generation
  • Work cross-functionally with product research and engineering teams
  • Help define product direction based on customer insights and emerging AI trends
Ideal Candidate Background
  • 13 years of experience in product ops technical ops or customer-facing technical roles
  • Strong understanding of ML/AI workflows including data pipelines and model training
  • Experience working with AI labs data companies or ML infrastructure platforms
  • Technical background (Computer Science Engineering or similar)
  • Ability to translate ambiguous customer needs into structured technical requirements
  • Strong communication and stakeholder management skills
  • Experience working in fast-paced startup environments
  • High ownership curiosity and problem-solving ability
Preferred
  • Experience with human data pipelines or dataset generation workflows
  • Background working with frontier AI labs or research teams
  • Exposure to video multimodal AI or large-scale data systems
  • Experience in early-stage startups or high-growth environments
  • Strong analytical thinking and ability to operate in ambiguity
Compensation and Benefits
  • Competitive base salary: $150000 $250000
  • Competitive equity package
  • Potential performance-based cash bonus
  • Work directly with leading AI labs and enterprise customers
  • High ownership and visibility in a fast-growing company
  • Opportunity to shape product direction and customer strategy
  • Work on cutting-edge AI infrastructure powering video intelligence
Why Join

This is a unique opportunity to sit at the intersection of AI research product and customer engagement. Youll work directly with some of the most advanced AI labs in the world while helping define how next-generation AI systems are trained and deployed.

If you enjoy combining technical depth with customer impactand want to be at the center of the AI ecosystemthis role offers exceptional learning ownership and career growth


About Company

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Senior software engineering jobs at top AI-native startups. Recruiting from Scratch advocates for candidates — 300+ placements, 29-day avg time to hire, 90+ NPS. Browse open roles.

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